Matin Akbari Email & Phone Number

Chicago, Il, Us

- Develop machine learning models (such as Random Forest and XGBoost) to predict plan members’ conditions- Improve the functionality of necessary utilities by updating existing code in the pipeline- Implement new functionality of necessary utilities, by writing functions, for constant use by the team- Debug issues in current functions and processes by condensing lines of code- Analyze the performance of healthcare plans through A/B testing, hypothesis testing, and other statistical methods- Report findings to business executives and stakeholders through tools such as PowerPoint and PowerBI- Train and Collaborate with team members on new tools and processes by hosting weekly meetings

Chicago, Illinois, United States

- Collected statistics regarding the number of participants in the program and their length ofinvolvement- Launched a social media campaign on Facebook to broaden the reach of the program- Trained and supervised 50+ high school & college-aged mentors to empower groups ofmiddle schoolers; stimulated reflection among the mentors to enhance their participation- Coordinated the logistics and content for 20+ overnight/day camps- Met quarterly with higher-ups to provide reports about the state of the program inChicago, thus allowing for learning to flow to other parts of the country

Chicago, Illinois, United States

- Extracted unnecessary information from the dataset and imputed missing data points (usingTidyverse and MICE package in R) to be used for statistical analysis- Constructed statistical models using Random Forest and Logistic Regression to analyzefactors contributing to patient blood pressure control and predict success- Collaborated with team members in weekly meetings; delegated tasks to meet objectives- Presented findings to client twice a month using Google Slides to ensure transparency ofteam progress